Online Social Network Analysis using Machine Learning Techniques

  • Uttama Garg


Now a days Social Media become the most powerful plateform to express your views and opinion. Orkut,
Facebook, Twitter, Instagram are the mean of human life. Without social media or these social networking sites
life will be stopped, I think. Most of the working and non working people are registered in one of these sites all
of the world. These social networking sites are the base of Sentiment Analysis and study of Opinion Mining. The
study of tehse opinions can lead to a decision or some marketing benefits. Because on can easily estimate the
theory of a human’s brain by studying his updates on these social networking sites. Now Machine Learning
Algorithm like Linear Regression, Logistic Regression, Support Vector Machine, Naïve Bayes[1] Algorithm can
be used to extract the conclusion of people’s opinion. To predict the most popular brand among Android and
IOS smartphone, we are analyzing tweets in this paper.

How to Cite
Uttama Garg. (2020). Online Social Network Analysis using Machine Learning Techniques. International Journal of Advanced Science and Technology, 29(10s), 2092-2096. Retrieved from